This repository contains code used in this series of articles in which we go through the deployment of a machine learning model on mlflow.
The code is organized in the following way:
├── deployments <- Kubernets config yaml files for mlflow and locust
├── locust-tasks <- Functions executed as part of the load test tasks
├── notebooks <- Example code snippets to interact with mlflow
├── scripts <- Scripts executed by the deployed docker containers
├── dockerfile_* <- docker files to deploy mlflow and locust on Kubernetes
All contributions, ideas and bug reports are welcome! We encourage you to open an issue for any change you would like to make on this project.